Search Results - "PIGOLI, DAVIDE"
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A large-scale and PCR-referenced vocal audio dataset for COVID-19
Published in Scientific data (27-06-2024)“…The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or…”
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Kriging Riemannian Data via Random Domain Decompositions
Published in Journal of computational and graphical statistics (16-09-2021)“…Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, for example, in environmental…”
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TESTS FOR SEPARABILITY IN NONPARAMETRIC COVARIANCE OPERATORS OF RANDOM SURFACES
Published in The Annals of statistics (01-08-2017)“…The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, especially in…”
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Predicting class switch recombination in B‐cells from antibody repertoire data
Published in Biometrical journal (01-06-2024)“…Statistical and machine learning methods have proved useful in many areas of immunology. In this paper, we address for the first time the problem of predicting…”
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Kriging prediction for manifold-valued random fields
Published in Journal of multivariate analysis (01-03-2016)“…The statistical analysis of data belonging to Riemannian manifolds is becoming increasingly important in many applications, such as shape analysis, diffusion…”
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A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
Published in Journal of the American Statistical Association (03-07-2019)“…Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies…”
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Multivariate functional clustering for the morphological analysis of electrocardiograph curves
Published in Journal of the Royal Statistical Society (01-05-2013)“…Cardiovascular ischaemic diseases are one of the main causes of death all over the world. In this class of pathologies, a quick diagnosis is essential for a…”
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The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01-11-2018)“…The historical and geographical spread from older to more modern languages has long been studied by examining textual changes and in terms of changes in…”
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Statistics in Phonetics
Published in Annual review of statistics and its application (01-10-2024)“…Phonetics is the scientific field concerned with the study of how speech is produced, heard, and perceived. It abounds with data, such as acoustic speech…”
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Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19
Published in Statistics in medicine (10-11-2024)“…ABSTRACT From early in the coronavirus disease 2019 (COVID‐19) pandemic, there was interest in using machine learning methods to predict COVID‐19 infection…”
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Distances and inference for covariance operators
Published in Biometrika (01-06-2014)“…A framework is developed for inference concerning the covariance operator of a functional random process, where the covariance operator itself is an object of…”
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Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
Published in Electronic journal of statistics (01-01-2017)Get full text
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Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (12-05-2023)“…Abstract Forensic entomology contributes important information to criminal investigations. This paper proposes a novel method to estimate the hatching time of…”
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Functional principal component analysis as a versatile technique to understand and predict the electric consumption patterns
Published in Sustainable Energy, Grids and Networks (01-03-2020)“…Understanding and predicting the electric consumption patterns in the short-, mid- and long-term, at the distribution and transmission level, is a fundamental…”
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A Riemannian covariance for manifold-valued data
Published 08-10-2024“…The extension of bivariate measures of dependence to non-Euclidean spaces is a challenging problem. The non-linear nature of these spaces makes the…”
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Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives
Published in Computational statistics & data analysis (01-06-2012)“…A wavelet-based method is proposed to obtain accurate estimates of curves in more than one dimension and of their derivatives. By means of simulation studies,…”
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Estimation of the mean for spatially dependent data belonging to a Riemannian manifold
Published in Electronic journal of statistics (01-01-2012)Get full text
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Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Published in Nature machine intelligence (01-02-2024)“…Recent work has reported that respiratory audio-trained AI classifiers can accurately predict SARS-CoV-2 infection status. However, it has not yet been…”
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A ticklish problem
Published in Significance (Oxford, England) (01-04-2017)“…The book Mr. Tickle is a childhood favourite for many. But this fantastical story of a man with “extraordinary long arms” is helping statisticians derive a…”
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